Course Length: 2 day(s)
Course Price: $1700 CAD
Available Course Formats:
- In-class
- Instructor Led Online
- Self-Paced Virtual Classroom
Scheduled Dates:
May 4, 2020 - May 5, 2020 (2 day(s))
Location:
Canada, ON - Markham
Time:
09.00 EST - 17.00 EST
May 4, 2020 - May 5, 2020 (2 day(s))
Location:
Instructor-Led-Online
Time:
09.00 EST - 17.00 EST
May 4, 2020 - May 5, 2020 (2 day(s))
Location:
Canada, ON - Ottawa
Time:
09.00 EST - 17.00 EST
Jun 1, 2020 - Jun 2, 2020 (2 day(s))
Location:
Canada, ON - Markham
Time:
09.00 EST - 17.00 EST
Jun 1, 2020 - Jun 2, 2020 (2 day(s))
Location:
Instructor-Led-Online
Time:
09.00 EST - 17.00 EST
Jun 1, 2020 - Jun 2, 2020 (2 day(s))
Location:
Canada, ON - Ottawa
Time:
09.00 EST - 17.00 EST
Self-Paced Virtual Classroom
This course provides the foundations of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.2, and introduces the student to modeling.
Course Outline:
Course Outline
Introduction to IBM SPSS Modeler
- Introduction to data science
- Describe the CRISP-DM methodology
- Introduction to IBM SPSS Modeler
- Build models and apply them to new data
Collect initial data
- Describe field storage
- Describe field measurement level
- Import from various data formats
- Export to various data formats
Understand the data
- Audit the data
- Check for invalid values
- Take action for invalid values
- Define blanks
Set the unit of analysis
- Remove duplicates
- Aggregate data
- Transform nominal fields into flags
- Restructure data
Integrate data
- Append datasets
- Merge datasets
- Sample records
Transform fields
- Use the Control Language for Expression Manipulation
- Derive fields
- Reclassify fields
- Bin fields
Further field transformations
- Use functions
- Replace field values
- Transform distributions
Examine relationships
- Examine the relationship between two categorical fields
- Examine the relationship between a categorical and continuous field
- Examine the relationship between two continuous fields
Introduction to modeling
- Describe modeling objectives
- Create supervised models
- Create segmentation models
Improve efficiency
- Use database scalability by SQL pushback
- Process outliers and missing values with the Data Audit node
- Use the Set Globals node
- Use parameters
- Use looping and conditional execution
Course Audience & Prerequisites:
Audience:
- Data scientists
- Business analysts
- Clients who are new to IBM SPSS Modeler or want to find out more about using it
Prerequisites:
- Knowledge of your business requirements
Course Offerings:
Instructor Led In Classroom
Newcomp can directly deliver IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.
Currently, in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.
Instructor Led Online
Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples
ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.
Self Paced
Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC. Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.
- Course Outline
- Course Audience & Prerequisites
- Course Offerings
- Related Courses
Course Outline
Introduction to IBM SPSS Modeler
- Introduction to data science
- Describe the CRISP-DM methodology
- Introduction to IBM SPSS Modeler
- Build models and apply them to new data
Collect initial data
- Describe field storage
- Describe field measurement level
- Import from various data formats
- Export to various data formats
Understand the data
- Audit the data
- Check for invalid values
- Take action for invalid values
- Define blanks
Set the unit of analysis
- Remove duplicates
- Aggregate data
- Transform nominal fields into flags
- Restructure data
Integrate data
- Append datasets
- Merge datasets
- Sample records
Transform fields
- Use the Control Language for Expression Manipulation
- Derive fields
- Reclassify fields
- Bin fields
Further field transformations
- Use functions
- Replace field values
- Transform distributions
Examine relationships
- Examine the relationship between two categorical fields
- Examine the relationship between a categorical and continuous field
- Examine the relationship between two continuous fields
Introduction to modeling
- Describe modeling objectives
- Create supervised models
- Create segmentation models
Improve efficiency
- Use database scalability by SQL pushback
- Process outliers and missing values with the Data Audit node
- Use the Set Globals node
- Use parameters
- Use looping and conditional execution
Audience:
- Data scientists
- Business analysts
- Clients who are new to IBM SPSS Modeler or want to find out more about using it
Prerequisites:
- Knowledge of your business requirements
Instructor Led In Classroom
Newcomp can directly deliver IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.
Currently, in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.
Instructor Led Online
Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples
ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.
Self Paced
Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC. Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.